Growth and physiological responses of canola (<i>Brassica napus</i>) to UV‐B and CO<sub>2</sub>under controlled environment conditions
Bibliographic record
Abstract
Few studies have investigated the interaction of ultraviolet (UV)‐B radiation and CO 2 concentration on plants. We studied the combined effects of UV‐B radiation and CO 2 concentration on canola ( Brassica napus cv. 46A65) under four growth conditions – ambient CO 2 with UV‐B (control), elevated CO 2 with UV‐B, ambient CO 2 without UV‐B, and elevated CO 2 without UV‐B – to determine whether the adverse effects of UV‐B are mitigated by elevated CO 2 . Elevated CO 2 significantly increased plant height and seed yield, whereas UV‐B decreased them. Elevated CO 2 ameliorated the adverse effects of UV‐B in plant height. UV‐B did not affect the physical characteristics of leaf but CO 2 did. Certain flower and fruit characteristics were affected negatively by UV‐B and positively by CO 2 . UV‐B did not affect net photosynthesis, transpiration and stomatal conductance but decreased water use efficiency (WUE). Elevated CO 2 significantly increased net photosynthesis and WUE. Neither UV‐B nor CO 2 affected chlorophyll (Chl) fluorescence. UV‐B significantly decreased Chl b and increased the ratio of Chl a / b . Elevated CO 2 decreased only the ratio of Chl a / b . UV‐B significantly increased UV‐absorbing compounds while CO 2 had no effect on them. Both UV‐B and CO 2 significantly increased epicuticular wax content. Many significant relationships were found between morphological, physiological, and chemical parameters. This study showed that elevated CO 2 can partially ameliorate some of the adverse effects of UV‐B radiation in B . napus .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".